Data Analysis for Neurodegenerative Disorders
Data Analysis for Neurodegenerative Disorders
Ashour, Amira S.; Koundal, Deepika; Zaguia, Atef; Jain, Deepak Kumar; Guo, Yanhui
Springer Verlag, Singapore
06/2023
267
Dura
Inglês
9789819921539
15 a 20 dias
Descrição não disponível.
Chapter 1. Introduction to neurodegenerative disorders.- Chapter 2. Neurodegenerative Disorders and available therapies: A review.- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques.- Chapter 4. Deep learning based classification of neurodegenerative disorders.- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy.- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation.- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique.- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease.- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning.- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer's Disease.- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images.- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals.- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson.- Chapter 14. Challenges and Possible research directions.
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Medical Data Analysis;Disease Diagnosis;Computational methods;Artificial Intelligence;Neurodegenerative Disorders;Machine learning and Deep learning;Computer-aided diagnosis;Neuroimaging;Handwriting analysis;Speech analysis;Gait analysis;Multimodal approaches;Big data analysis
Chapter 1. Introduction to neurodegenerative disorders.- Chapter 2. Neurodegenerative Disorders and available therapies: A review.- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques.- Chapter 4. Deep learning based classification of neurodegenerative disorders.- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy.- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation.- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique.- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease.- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning.- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer's Disease.- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images.- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals.- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson.- Chapter 14. Challenges and Possible research directions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.